GEM
Compositional &
Unconventional Simulator

GEM is the world-leading Equation-of-State (EoS) reservoir simulator for compositional, chemical and unconventional reservoir modelling.

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CMG is superior in modelling conventional,
secondary recovery and unconventional reservoirs
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Enhanced Oil Recovery
Achieve accurate simulation of miscible/immiscible displacement, chemical EOR and non-steam based thermal recovery processes to improve and optimize the recovery factor from oil and gas reservoirs.

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  • Equation-of-State (EOS) compositional simulator that models flow of three phase, multi-component fluids
  • Advanced handling of complex phase behavior of all types of petroleum fluids
  • Accurately and robustly models the physics and chemistry related to all type of non-thermal EOR processes
  • Full physics associated with handling of advanced relative permeability as a function of IFT, velocity and composition, hysteresis effects in miscible and WAG processes
  • Model the physics of in-situ Asphaltene precipitation related effects and its impact on reservoir performance when modelling gas/solvent based EOR process
  • Capture pore blockage effects and its impact on the efficiency of the process by modelling adsorption of aqueous phase components on rock surface

Chemical EOR (cEOR): Lab to Field-Scale
Design and evaluate the effectiveness of chemical additives with GEM's advanced cEOR features. GEM is the only simulator that models Miscible Injection + Foam + ASP + Low salinity in a single model.

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  • Full physics capability for modelling ASP, Foam and other cEOR processes in both clastic and carbonate reservoirs
  • Model polymer, surfactant or Alkali injection with geochemical effects
  • Accurate ASP process modelling with saponification (create soap in-situ) and salinity gradients in full-field 3D environment
  • Achieve optimum recovery and prevent process failures by maintaining a strict salinity gradient during an ASP flood
  • Models Windsor type I, II and III phase behavior during ASP injection process
  • Models Micro Emulsion (ME) phase using two liquid phases (oil and water)
  • Simulate mobility control by polymers or foam injection, and interfacial tension reduction using surfactants and/or alkalis
  • Study complex effects of foam with the empirical foam model
  • Forecast production/recovery factor by configuring lab scale or full-field ASP or Foam models, using Builder process wizard
  • Improve recovery and NPV by optimizing chemical slug size, concentration, injection schedule, and optimal injector-producer well location

Geomechanics: Couple to Reservoir Simulation
The powerful rigorous, iteratively-coupled 3D geomechanics module accurately models subsidence, compaction and dilation behavior that occurs during advanced recovery methods.

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  • Iteratively coupled, finite-element based module for accurate calculation of geomechanical effects
  • Model porosity-dependent and solid-component-dependent geomechanical properties
  • Simulate stress-induced phenomena: sand production, near wellbore formation collapse and elastic or plastic deformation
  • Perform mechanistic 3D compaction and dilation modelling to study the effect of stress on porosity
  • Model fracture initiation and growth to understand fracturing mechanisms and impact of stress or strain dynamics
  • Specify direct relationship between stress and fracture/matrix permeability via a look-up table

Performance: Optimize Efficiency and Throughput
CMG's solver and parallelization technology maximizes hardware potential and provides you with software that runs large, complex simulation jobs in the shortest amount of time.

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  • Decrease project turn-around time
  • Run more simulation jobs simultaneously and get results faster than before
  • Additional parallelization increases parallel speed-up when jobs are submitted on a higher number of cores
  • Reduce capital expenditures with efficient use of current IT hardware, no annual upgrades required
  • Quickly load results of large models using the new standardized and compressed SR3 files to maximize productivity
Unconventional Reservoirs: Matrix to Fracture Modelling
Industry leading, most advanced and easy to use workflow for modelling hydraulic and natural fractures in Shale and Tight oil and gas reservoirs.

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  • Flexible workflow for modelling natural and hydraulic fractures, multi-component adsorption, geomechanical effects, inter-phase mass transfer, multi-phase diffusion and non-Darcy flow
  • Feature-rich reservoir simulator for modelling primary and advanced EOR processes, in all types of unconventional reservoirs
  • Accurate representation of fluid flow physics in the matrix and the fractures using a CMG’s Tartan Grid for modelling planar and network (SRV) hydraulic fractures
  • Achieve better accuracy around hydraulic fractures due to logarithmically spaced gridding
  • Explicit representation of fracture dimensions in grid design, non-Darcy flow and velocity-dependent relative permeability effects
  • Easy-to-use model building wizard for creating hydraulic fractures using physical HF parameters, microseismic data or imported fracture simulation data, from 3rd-party software, for better fracture characterization, history matching and forecasting
  • Perform coupled geomechanics simulation to understand hydraulic fracture conductivity variation as a function of stress change during production & injection
  • Automate the history matching, optimization and uncertainty analysis by parametrizing the uncertain parameters associated with reservoir, hydraulic fracture and operating parameters

Geochemical EOR: Optimize recovery with LSW
Maximize oil recovery and reduce environmental impact with GEM’s accurate simulation of fundamental low salinity waterflood (LSW) mechanisms, including ion exchange reactions, geochemistry and wettability alterations.

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  • Confidently forecast production/recovery factor by configuring full-field or hybrid LSW models
  • Advanced modelling of geochemistry, ion exchange, wettability alteration through Capillary Number based Oil- Water Relative Permeability Interpolation in EOS-based compositional environment
  • Effectively model ion exchange on different reservoir clay distributions
  • Model salinity effects for multiple salt components to capture its effect on the overall effectiveness of the process
  • Advanced modelling of Fluid-rock interaction such as rock matrix dissolution, asphaltene precipitation, mineral disposition and associated porosity and permeability alteration etc.
  • Extensive library of chemical reactions for quick use in simulation models
  • Obtain stoichiometry of chemical equilibrium, dissolution and precipitation ion reactions directly from the reactions
  • Forecast production/recovery factor by configuring full-field or hybrid LSW models, using LSW Builder process wizard
  • Optimize recovery and NPV by identifying well locations, optimal salinity for injected water for optimal wettability alternation based on reservoir rock geochemistry

Carbon Capture and Storage: See the Future
Accurately model the long-term effects of carbon dioxide (CO2) injection into a geological formation or saline aquifer and help determine the viability of the CCS project.

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  • Model and visualize the long-term effects of CO2 storage in geological reservoirs and saline aquifers
  • Increase accuracy by including gas trapping effects due to hysteresis, water phase density and viscosity alteration due to solubility and salinity change, mineral precipitation and dissolution mechanisms
  • Water vaporization model reformulated for two-phase hydrocarbon systems to allow for increased accuracy
  • Improve CCS model reliability by including complete aqueous phase chemical equilibrium calculations
  • Extensive library of aqueous and mineral reactions available for use in simulation models
  • Use Builder to quickly and efficiently develop CO2 Sequestration simulation models


SPE Technical PapersWant to learn more?
Check out the SPE technical papers focused on GEM - you'll have an opportunity to learn from our customers and our R&D team on innovative applications of GEM in the field. Find out more...